WO2023243657A1 - Système d'examen - Google Patents

Système d'examen Download PDF

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Publication number
WO2023243657A1
WO2023243657A1 PCT/JP2023/022066 JP2023022066W WO2023243657A1 WO 2023243657 A1 WO2023243657 A1 WO 2023243657A1 JP 2023022066 W JP2023022066 W JP 2023022066W WO 2023243657 A1 WO2023243657 A1 WO 2023243657A1
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WO
WIPO (PCT)
Prior art keywords
test
user
test system
proctor
person
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Application number
PCT/JP2023/022066
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English (en)
Japanese (ja)
Inventor
洋資 堅田
和章 谷田
基 谷垣
Original Assignee
株式会社データミックス
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Publication of WO2023243657A1 publication Critical patent/WO2023243657A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/20—Education
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B19/00—Teaching not covered by other main groups of this subclass
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Definitions

  • the present invention relates to a test system.
  • the present invention has been made in view of this situation, and it is an object of the present invention to provide a test system that improves the detection rate of fraudulent acts without reducing operational efficiency.
  • a test system allows a plurality of users to connect their own user terminals (for example, user terminal 3 to be described later) via a network (for example, network N to be described later).
  • a reception unit (for example, the reception unit 31 described below) that accepts the application; a detection unit (for example, the detection unit 32, described later) that detects a situation where there is a high probability of cheating based on the examination environment information;
  • the test proctor terminal includes a notification means (for example, a notification section 33 described later) that notifies the test proctor terminal of the situation, and the test proctor terminals can communicate with each other. This is a test system.
  • test proctor when a situation with a high probability of cheating is detected, the test proctor is notified to that effect, making it easier to detect cheating. Therefore, it is possible to increase the number of users (test takers) that each test proctor supervises.
  • test proctors when multiple test proctors are supervising a given test, by being able to communicate with each other, it is possible to consult with each other or to divide the test.
  • the present invention also provides the above-described aspect of the present invention, wherein the notifying means outputs the test information specifying the test to be taken by the user when notifying that the detecting means has detected a situation with a high probability of cheating. This is the test system described in (1).
  • one test proctor can supervise multiple tests at once.
  • FIG. 1 is a schematic diagram showing an embodiment of the present invention.
  • 1 is a configuration diagram of a test system including a server according to an embodiment of the present invention.
  • FIG. 3 is a block diagram showing an example of the hardware configuration of the server in FIG. 2.
  • FIG. 4 is a functional block diagram showing an example of the functional configuration of the server in FIG. 3.
  • FIG. 4 is a flowchart illustrating an example of fraud detection processing executed by the server of FIG. 3.
  • FIG. 3 is a diagram showing an example of a user list screen displayed on the test proctor terminal.
  • FIG. 3 is a diagram illustrating an example of a user confirmation screen displayed on a proctor terminal.
  • FIG. 3 is a diagram showing an example of the arrangement of test proctors.
  • FIG. 1 is a schematic diagram showing an example of a test system using the present invention.
  • This test system is provided as an online test, that is, a test that can be taken via network N.
  • n users U U1 to Un; n is an integer value of 2 or more
  • 1 to n test proctors D D1 to Dn; n is 2
  • the test proctor terminal 2 used by the above integer values is connected via the network N.
  • User U is a candidate for an online exam.
  • the test proctor D is a person who supervises user U who is a test taker, or a person who further supervises that person (person who supervises user U who is a test taker). Note that a person who further supervises the person who supervises the user U who is the examinee may configure the main test system by replacing the person with a system such as AI (artificial intelligence).
  • AI artificial intelligence
  • this test system allows multiple users U to take the test from their respective user terminals 3 via the network N, and multiple test proctors D to take the test from their respective proctor terminals 2 via the network N. It is a system that can be supervised. Furthermore, in this test system, communication between the test proctor terminals 2 is possible.
  • the exam site refers to a website where the exam is conducted.
  • User U takes the exam using, for example, a user terminal 3 (home PC or laptop computer).
  • FIG. 2 is a configuration diagram of a test system including a server 1 according to an embodiment of the present invention.
  • the test system shown in FIG. 2 is configured to include a server 1 that performs various processes, a test proctor terminal 2 used by a test proctor D, and a user terminal 3 used by a user U who is a test taker.
  • the server 1, test proctor terminal 2, and user terminal 3 are each interconnected via a predetermined network N such as the Internet. Note that the functions of the server 1 may be implemented in a specific test proctor terminal 2.
  • FIG. 3 is a block diagram showing an example of the hardware configuration of the server 1 in FIG. 2.
  • the server 1 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a bus 14, an input/output interface 15, an output section 16, and an input section 17. And, It includes a storage section 18, a communication section 19, and a drive 20.
  • CPU Central Processing Unit
  • ROM Read Only Memory
  • RAM Random Access Memory
  • the CPU 11 executes various processes according to programs recorded in the ROM 12 or programs loaded from the storage unit 18 to the RAM 13.
  • the RAM 13 appropriately stores data and the like necessary for the CPU 11 to execute various processes.
  • the CPU 11, ROM 12, and RAM 13 are interconnected via a bus 14.
  • An input/output interface 15 is also connected to this bus 14 .
  • the output unit 16 includes a display, a speaker, a printer, etc., and outputs output information such as audio data and text data. If the output unit 16 is, for example, a printer, the output information can also be printed.
  • the input unit 17 includes a keyboard, a mouse, etc., and inputs various information.
  • the storage unit 18 is composed of a hard disk, DRAM (Dynamic Random Access Memory), etc., and stores various data.
  • the communication unit 19 communicates with other objects (for example, the proctor terminal 2, user terminal 3, etc. in FIG. 1) via the network N.
  • a removable medium 21 made of a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is appropriately installed in the drive 20.
  • the program read from the removable medium 21 by the drive 20 is installed in the storage unit 18 as necessary. Further, the removable medium 21 can also store various data stored in the storage section 18 in the same manner as the storage section 18.
  • the proctor terminal 2 and the user terminal 3 have the same hardware configuration as the server 1 shown in FIG. 3, so a description thereof will be omitted.
  • FIG. 4 is a functional block diagram showing an example of the functional configuration of the server 1 in FIG. 3.
  • a reception section (reception means) 31 in the CPU 11 of the server 1, a reception section (reception means) 31, a detection section (detection means) 32, and a notification section (notification means) 33 function.
  • a user DB (database) 41 and a detection type DB 42 are provided in one area of the storage unit 18 of the server 1.
  • the receiving unit 31 receives user information and test information from the user terminal 3 before taking the test (for example, at the time of application), and stores the received information in the user DB 41.
  • User information is information for identifying user U, such as information written on user U's identification card (facial image, name, date of birth, address), postal code, telephone number, email address. , audio information, etc.
  • the test information is information for specifying the test that the user U will take, and includes the test type, date, start time, end time, etc.
  • the reception unit 31 receives test environment information from the user terminal 3 during the test.
  • the examination environment information is information regarding the examination environment in which the user U is placed.
  • the examination environment information is image information obtained by photographing the user U and his surroundings using a camera installed in the user terminal 3, and a microphone installed in the user terminal 3. This refers to audio information obtained from the user U and his/her surroundings.
  • the detection unit 32 Based on the examination environment information received by the reception unit 31, the detection unit 32 detects a situation where there is a high probability of cheating. Situations where there is a high probability of fraudulent activity include, for example, a situation where a third party is reflected, a situation where a third party's voice can be heard, a situation where user U's line of sight is outside the screen of the user terminal 3, This is a situation where something unnecessary for the test (for example, a smartphone or a reference book) is reflected in the image. Specifically, the detection unit 32 uses pattern recognition (image recognition) to detect situations in which a third person is reflected, situations in which the user U's line of sight is outside the screen of the user terminal 3, and objects unnecessary for the test. Detects situations where images are reflected. Further, the detection unit 32 detects a situation where a third party's voice can be heard by pattern recognition (speech recognition).
  • pattern recognition speech recognition
  • the notification unit 33 When the detection unit 32 detects an act that is highly likely to be cheating, the notification unit 33 notifies the proctor terminal 2 of this fact, and at the same time outputs test information to the proctor terminal 2.
  • the user information and test information received by the reception unit 31 are stored in the user DB 41.
  • the detection type DB 42 stores information used when the detection unit 32 performs pattern recognition.
  • FIG. 5 is a flowchart illustrating an example of fraud detection processing according to the present embodiment.
  • the reception unit 31 receives examination environment information from the user terminal 3, and the detection unit 32 determines whether or not there is a high probability of cheating based on the examination environment information received by the reception unit 31. to judge.
  • the notification unit 33 when the detection unit 32 detects a situation with a high probability of cheating (YES in step S1), the notification unit 33 notifies the proctor terminal 2 of this fact, and at that time, The test information is output to the test proctor terminal (step S2).
  • step S1 if the detection unit 32 does not detect a situation with a high probability of fraudulent activity (NO in step S1), step S1 is repeated.
  • FIG. 6 is a diagram showing an example of a user list screen displayed on the proctor terminal 2.
  • Areas G1 to G13 are areas where images of the 13 users U who are in charge of the test proctor D and the screens displayed on the monitors of the respective user terminals 3 are displayed. By selecting one of the areas G1 to G13, a transition is made to a user confirmation screen for the individual user U (see FIG. 7).
  • the names of the 13 users U whom the test proctor D is in charge of, and test information corresponding to each name are displayed.
  • a transition is made to a user confirmation screen for the individual user U (see FIG. 7).
  • this user list screen for example, a situation with a high probability of fraudulent activity is detected for two users U displayed in area G3 and area G7, and in order to notify that fact, area G3 and area G7 are , are highlighted with a red frame, etc., and a caution mark is displayed beside the names of the two people displayed in the area 51 on the left side of the screen.
  • the video of user U displayed in the area or the image cut out from the video
  • the timestamp is also automatically saved. It is more preferable that
  • FIG. 7 is a diagram showing an example of a user confirmation screen displayed on the proctor terminal 2.
  • On the user confirmation screen an image of the user U selected on the user list screen (see FIG. 6) and a screen displayed on the monitor of the user terminal 3 used by the user U are displayed.
  • a call button 61 enables communication with the user U through video and audio.
  • the memo button 62 is selected, a pop-up window 62a is displayed, allowing a memo to be taken by text input.
  • the chat button 63 is selected, a pop-up window 63a is displayed, allowing communication with the user U through chat.
  • the share button 64 is selected, information regarding the user confirmation screen is transmitted to other proctor terminals 2, and the information is shared.
  • a pull-down menu 65 is displayed at the upper right of this user confirmation screen.
  • the names of other test proctors D and telephone calls and chats as means of communication are displayed as a menu.
  • a pop-up window 65a or 65b is displayed, allowing communication with other proctors D by telephone or chat.
  • a volume indicator 66 is displayed at the upper right of the image of the user U, making it possible to confirm the volume of the audio of the user U and those around him.
  • test proctors D when multiple test proctors D are supervising a predetermined test, by being able to communicate with each other, it is possible to consult with each other or divide the test proctors D to deal with the problem.
  • one test proctor D can supervise multiple types of tests at once.
  • the present invention is not limited to the above embodiments, and various changes and modifications are possible.
  • AI artificial intelligence
  • the detection unit 32 detects a situation that is highly likely to be fraudulent activity by performing pattern recognition using information stored in advance in the detection type DB 42.
  • AI artificial intelligence
  • the detection unit 32 can detect the following items. First, image information in the examination environment information input to the detection unit 32 will be explained.
  • the image information input to the detection unit 32 includes the person's video and the shared screen.
  • the person's image is an image of the person and his/her surroundings.
  • the detection unit 32 analyzes the person's video to detect a situation in which there is a high probability of fraudulent activity from the following images included in the person's video. For example, regarding a person in an image, this includes an image in which no person is shown, an image in which a person other than user U is shown, an image in which multiple people are shown, and the like.
  • images that show user U's body orientation is strange
  • Whether or not the user U's line of sight is directed in a direction other than the display can be determined, for example, as follows. That is, before starting the test, the user U is asked to look at the four corners of the display. Then, a criterion for determining that the user U's line of sight is looking at the display is acquired in advance. Based on this determination criterion, it is determined whether the user U's line of sight is directed in a direction other than the display.
  • a criterion for determining whether there is a high probability of fraud may be set based on time or score.
  • a tab other than the browser tab on which the test questions are displayed is displayed from the shared screen. This is because if such a tab is displayed, there is a high probability that fraudulent activity is being carried out.
  • browser tabs other than the tab on which exam questions are displayed non-exam applications such as chat tools, small windows that visually display screen sharing when using internet meeting software, Windows bars, etc. Images that show that the entire screen is being shared, rather than just a specific window, are considered to be images that indicate a high probability of fraudulent activity.
  • the number of devices that acquire image information may be increased. That is, by providing a second eye and a third eye, input of image information may be increased and blind spots in the image may be reduced.
  • Examples of devices to be added include a smartphone, a camera, etc. that are separate from the test terminal (user terminal 3).
  • the camera may be a 360 degree camera. When the camera is a 360-degree camera, dedicated analysis software may be used to analyze the image with less distortion and fewer blind spots.
  • the entrance and exit of the room may be photographed to monitor whether or not someone else has entered the room.
  • the accuracy of fraud detection may be increased by analyzing image information using image analysis such as pattern recognition.
  • images of scenes where the possibility of fraud is particularly high may be stored in the storage unit 18 or the like.
  • the detection unit 32 may detect a situation included in the audio information that is highly likely to be fraudulent activity by analyzing the audio information using pattern recognition or the like.
  • a situation with a high probability is, for example, a situation in which voices having a conversation, that is, voices of multiple people, voices other than the person himself/herself, etc. are included.
  • Whether the voices of multiple people are included may be determined based on whether the types of voiceprints included are multiple or singular. Further, whether or not the voice is the person's voice may be determined by obtaining the person's voiceprint in advance during registration or identity verification, and using that voiceprint as a reference.
  • transcribing the audio information it may be possible to identify whether the voice is a fraudulent act, such as a person talking to himself or reading a question sentence.
  • Voices that are particularly likely to be fraudulent or information obtained by transcribing the voices may be stored in the storage unit 18 or the like.
  • the window of the user who is speaking may be marked so that it can be seen which user is making the sound. Furthermore, in area 51 of the user list screen shown in FIG. 6, the name of the user who is making the sound may be marked.
  • the detection unit 32 may acquire information such as the operation mode of the user terminal 3 as the examination environment information.
  • information includes, for example, whether the input keys, keyboard strokes, etc. are the user's own, and whether there is a discrepancy between the mouse movements and the user's line of sight movements.
  • the keystroke operation mode refers to the keystroke mode unique to each person, such as the keystroke rhythm, which can also be called a keystroke voiceprint.
  • the keystroke mode of each person may be acquired in advance, and key input by someone other than the user may be detected by comparing it with the keystroke mode. Furthermore, if a change in the operating mode of keystrokes is detected during the test, it may be determined that there is a possibility of fraudulent activity.
  • the user terminal 3 is a smartphone
  • fraud may be detected based on the input mode to the smartphone in the same way as the keystroke operation mode.
  • cheating may be detected because the keystrokes and selection of options are too smooth.
  • the program may detect whether any application other than the test is running on the user terminal 3. Further, it is also possible to detect operation logs that cannot be obtained via a browser, such as whether a USB memory or other device is illegally connected to a USB port, etc., and determine whether there is any fraudulent activity. Further, the operation log may be stored in the storage unit 18 or the like.
  • proctor D will be explained.
  • the proctors D can be arranged in multiple layers. Arranging in multiple layers means to further arrange a supervisor to supervise the proctor D, or to further arrange a supervisor to supervise both the user U and the proctor D. By arranging the proctors D in multiple layers, it is possible to supervise the exam from a bird's-eye view and with fewer omissions.
  • the role of the test proctor D may be divided. For example, there is a monitoring person (main supervisor) who constantly monitors all candidates during the exam, a specialist person who is in charge of identity verification, checking for cheating, troubleshooting, etc., and each specialist person.
  • the main supervisor is also called the on-site supervisor.
  • the on-site supervising test proctor may supervise other test proctors in addition to the user U who is taking the test.
  • the specialist person is also said to be in charge of individual work.
  • the supervising supervisor is also referred to as the supervising test proctor.
  • the divisional supervising test proctor may adjust the division of roles among each individual work person.
  • FIG. 8 is a diagram showing an example of the arrangement of proctors D.
  • the test proctors D as on-site staff include five test proctors D from test proctor D1 to test proctor D5.
  • the test proctor D1 is in charge of calling the user U, who is a test taker.
  • the test proctor D2 is in charge of verifying the identity of the user U.
  • the test proctor D3 is in charge of supervising any misconduct during the test.
  • the test proctor D4 is in charge of handling troubles such as suspected cheating during the test.
  • Exam proctor D5 is in charge of on-site supervision.
  • each proctor D can divide the duties as follows, for example.
  • test proctor D1 who is in charge of calls, will form a team that will only respond to those who are scheduled to take the test on the day.
  • the test proctor D1 who is in charge of calls mainly handles troubles until communication with the test proctor D2 who is in charge of identity verification.
  • the test proctor D2 who is in charge of identity verification, ensures that the number of examinees is sufficient to handle the number of examinees close to the maximum number of examinees per time slot, so that examinees are not kept waiting and can conduct thorough identity verification.
  • test proctor D3 who is in charge of monitoring the test, supervises multiple test takers per person. Exam proctor D3 does not perform identity verification or troubleshooting. When trouble occurs or fraud is suspected, a request is made to the test proctor D4, who is in charge of troubleshooting.
  • test proctor D4 who is in charge of troubleshooting, responds to interactions such as chat from test takers and responds to technical troubles. Decisions such as suspending the exam or retaking the exam will be made in consultation with the exam proctor D5, who is in charge of on-site supervision.
  • test proctor D5 who is in charge of on-site supervision, may supervise more than a dozen test proctors D in each role. Therefore, resource allocation and decisions are made while grasping the resource situation on site. Also, communicate with the organizer as necessary.
  • each proctor D will be explained in chronological order.
  • five test proctors D supervise one examinee (user U).
  • the efficiency and rigor of the exam are increased.
  • the response of each proctor D will be specifically explained in chronological order.
  • test proctor D1 who is in charge of the call will deal with the problem.
  • test proctor D2 who is in charge of identity verification.
  • test proctor D3 who is in charge of monitoring, consistently monitors the user U from the time he enters the room until the end of the test.
  • the proctor D4 who is in charge of troubleshooting, will handle it. Since the test proctor D4 handles troubleshooting, the test proctor D3's monitoring of the user U is not interrupted or neglected due to troubleshooting.
  • test proctor D who is in charge of on-site supervision, supervises the entire process.

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Abstract

L'invention concerne un système d'examen qui améliore le taux de détection de tricherie sans réduire l'efficacité d'administration. Le système d'examen permet à une pluralité d'utilisateurs de passer un examen à partir de terminaux d'utilisateur (3) respectifs par le biais d'un réseau, et permet à une pluralité de dispositifs de surveillant d'examen d'effectuer une surveillance à partir de terminaux de surveillant d'examen (2) respectifs par le biais du réseau. Le système d'examen est pourvu d'une unité de réception (31) qui reçoit des informations d'environnement d'examen en provenance des terminaux d'utilisateur (3), d'une unité de détection (32) qui détecte un état qui est hautement susceptible d'être une tricherie sur la base des informations d'environnement d'examen, et d'une unité de notification (33) qui, lorsque l'unité de détection (32) a détecté un état qui est hautement susceptible d'être une tricherie, en avertit les terminaux de surveillant d'examen (2). Le système d'examen permet une communication entre les terminaux de surveillant d'examen (2).
PCT/JP2023/022066 2022-06-15 2023-06-14 Système d'examen WO2023243657A1 (fr)

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CN103208212A (zh) * 2013-03-26 2013-07-17 陈秀成 一种防作弊的远程在线考试的方法与系统
CN104077735A (zh) * 2014-06-09 2014-10-01 北京工商大学 在线考场可视化监测系统
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KR20180050968A (ko) * 2016-11-07 2018-05-16 주식회사 조인트리 온라인 시험 관리 방법
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JP2022029113A (ja) * 2020-08-04 2022-02-17 株式会社教育ソフトウェア オンライン試験支援装置およびプログラム
JP2022074561A (ja) * 2020-11-04 2022-05-18 株式会社岩倉自動車教習所 オンライン受験方法及びオンライン受験システム

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